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ShareGPT is an enterprise RAG chatbot built for SharePoint that helps employees get grounded answers from internal company documents through a familiar chat experience. In this end-to-end demo, we show how ShareGPT combines Azure AI services, FastAPI, Power Automate, and SPFx to: Ingest recently updated SharePoint documents on a schedule Parse and chunk content (including table-aware extraction) Generate embeddings and index content in Azure AI Search Run hybrid semantic + vector retrieval for user questions Generate citation-backed responses with grounding guardrails Stream answers to a SharePoint/Teams-ready chat UI with chat history Stack: Azure AI Foundry Azure OpenAI Azure AI Search Azure AI Document Intelligence Azure Blob Storage Azure Cosmos DB Power Automate FastAPI (Python) SPFx (SharePoint Framework) Demo Flow: 1. Scheduled ingestion from SharePoint via Power Automate 2. Blob staging + metadata mapping (`source_url`) 3. Parsing, chunking, embedding, and indexing pipeline 4. User query to retrieval API with hybrid search 5. Grounded answer generation + guardrail validation 6. Streaming response, citations, and thread/message persistence GitHub: https://github.com/msoumit/share-gpt Team: Soumit Mukherjee (mukherjee.soumit@gmail.com) Sourav Paul (me.souravpaul@gmail.com) #ShareGPT #SharePoint #EnterpriseAI #RAG #AzureAIFoundry #AzureOpenAI #AzureAISearch #AzureDocumentIntelligence #SPFx #FastAPI #PowerAutomate #GenerativeAI